Long-term eddy-covariance measurements from FINO2 platform above the Baltic Sea
Cobertura |
LATITUDE: 55.006900 * LONGITUDE: 13.154500 * DATE/TIME START: 2007-05-01T00:00:00 * DATE/TIME END: 2012-08-30T21:00:00 |
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Data(s) |
19/03/2013
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Resumo |
The estimation of the carbon dioxide (CO2) fluxes above the open ocean plays an important role for the determination of the global carbon cycle. A frequently used method therefore is the eddy-covariance technique, which is based on the theory of the Prandl-layer with height-constant fluxes in the atmospheric boundary layer. To test the assumption of the constant flux layer, in 2008 measurements of turbulent heat and CO2 fluxes were started within the project Surface Ocean Processes in the Anthropocene (SOPRAN) at the research platform FINO2. The FINO2 platform is situated in the South-west of the Baltic Sea, in the tri-border region between Germany, Denmark, and Sweden. In the frame of the Research project SOPRAN, the platform was equipped with additional sensors in June 2008. A combination of 3-component sonic anemometers (USA-1) and open-path infrared gas analyzers for absolute humidity (H2O) and CO2 (LICOR 7500) were installed at a 9m long boom directed southward of the platform in two heights, at 6.8 and 13.8m above sea surface. Additionally slow temperature and humidity sensors were installed at each height. The gas analyzer systems were calibrated before the installation and worked permanently without any calibration during the first measurement period of one and a half years. The comparison with the measurements of the slow sensors showed for both instruments no significant long-term drift in H2O and CO2. Drifts on smaller time scales (in the order of days) due to the contamination with sea salt, were cleaned naturally by rain. The drift of both quantities had no influence on the fluctuation, which, in contrast to the mean values, are important for the flux estimation. All data were filtered due to spikes, rain, and the influence of the mast. The data set includes the measurements of all sensors as average over 30 minutes each for one and a half years, June 2008 to December 2009, and 10 month from November 2011 to August 2012. Additionally derived quantities for 30 minutes intervals each, like the variances for the fast-sensor variables, as well as the momentum, sensible and latent heat, and CO2 flux are presented. |
Formato |
application/zip, 30 datasets |
Identificador |
https://doi.pangaea.de/10.1594/PANGAEA.809058 doi:10.1594/PANGAEA.809058 |
Idioma(s) |
en |
Publicador |
PANGAEA |
Direitos |
CC-BY: Creative Commons Attribution 3.0 Unported Access constraints: unrestricted |
Palavras-Chave | #0=no error, 1=less than half of interval valid , 2=LICOR sensor not reliable, 3=shipping traffic at platform; 3-component sonic anemometers (USA-1); AH; AH var; Altitude; ALTITUDE; average over 30 minutes; Baltic Sea; Carbon dioxide; Carbon dioxide, variance; Carbon dioxide flux; CO2; CO2 flux; CO2 var; Date/Time; DATE/TIME; Date/time end; Date/time start; dd; Error; ff; ff var; File format; File name; File size; FINO2; Heat Flux, latent; Heat Flux, sensible; Humidity, absolute; Humidity, absolute, variance; Humidity, relative; Hygrometer, Rotronic; Momentum flux; Monin-Obukhov-length; Monitoring station; MONS; MOS; NOBS; Number of observations; Number of valid 10Hz measurements in 30min interval (max 18000); Open-path infrared gas analyzers (LI-COR Li-7500A); Pt-100 temperature sensor; Qe; Qh; RH; Roughness length; Shearing stress; Shear str; SOPRAN; Surface Ocean Processes in the Anthropocene; Temperature, air; Temperature, air, variance; TTT; TTT var; U; Uniform resource locator/link to file; upward, average over 30 minutes; upward with Schotanus correction, average over 30 minutes; upward with Webb correction, average over 30 minutes; URL file; U var; V; V var; W; Wind direction; Wind speed; Wind speed, variance; Wind velocity, south-north; Wind velocity, south-north, variance; Wind velocity, vertical; Wind velocity, vertical, variance; Wind velocity, west-east; Wind velocity, west-east, variance; W var; Z0 |
Tipo |
Dataset |